Product Engineering Head

Product Engineering Head SaaS Platform | AWS | Java | Python | Chennai

Location:

About the Role

Product Engineering Head

Key Responsibilities

Technical & Strategic Leadership

• Define and execute the

  technical roadmap

  for the SaaS platform.
• Drive

  architecture, design, and technology decisions

  aligned with product goals.
• Establish

  engineering standards, CI/CD pipelines, and DevOps practices

  .
• Build, scale, and lead

  high-performing engineering teams

  across multiple projects.
• Collaborate closely with

  product management, design, and business stakeholders

  to ensure alignment between technology and business vision.

Solution Architecture & Product Delivery

• Lead

  solution architecture

  for distributed, cloud-native systems.
• Oversee

  design, development, and deployment

  of scalable microservices.
• Ensure

  performance optimization, data security, and system reliability

  .
• Drive adoption of

  modern frameworks, automation, and best coding practices

  .
• Manage

  multiple production rollouts

  and ensure high-quality delivery.

People & Project Management

• Manage and mentor

  teams of 15+ engineers

  across functions.
• Conduct

  performance reviews, technical mentoring, and skill development

  .
• Promote a culture of

  innovation, ownership, and continuous improvement

  .

Required Skills & Qualifications

Technical Leadership

• 15+ years overall experience in

  software engineering

  ; minimum

  5 years in an engineering management role

  .
• Minimum

  5 years as a Solution Architect

  or equivalent role.
• Proven experience in

  SaaS / PaaS / Cloud product development

  .

• AWS Certified Solutions Architect

  Mandatory (valid within 1 year).
  

Programming & Architecture

• Java (8+ years)

  – strong object-oriented design & system architecture expertise.

• Python (5+ years)

  – hands-on experience building production-grade systems.
• Deep understanding of

  microservices, REST APIs, distributed systems

  .
• Strong knowledge of

  system integration, performance tuning, and scalability

  .

Frameworks & Tools

• Spring Boot, Spring Framework, Django, Flask, FastAPI.

• React / Angular

  (for full-stack understanding).

• Kafka, RabbitMQ, AWS SQS, Redis, Elasticsearch.

Databases

• Relational:

  PostgreSQL, MySQL, Oracle.

• NoSQL:

  MongoDB, DynamoDB, Cassandra.

DevOps & Cloud

• Hands-on with

  CI/CD (Jenkins, GitLab CI, GitHub Actions)

  .

• Version control:

  Git, GitLab, GitHub.

• Monitoring tools:

  CloudWatch, Datadog, New Relic.
• Strong experience in

  AWS cloud services

  , including:
• EC2, ECS, EKS, Lambda, S3, CloudFront, RDS, ElastiCache, API Gateway, IAM, VPC, Security Groups.
  

Preferred Qualifications

• Bachelor’s/Master’s in

  Computer Science, Engineering, or related field

  .
• Experience in

  SaaS platform engineering or startup environments

  .
• Familiarity with

  Docker, Kubernetes, Terraform, CloudFormation

  .
• Exposure to

  Agile, Scrum, or Kanban

  methodologies.
• Additional certifications in

  AWS DevOps / Azure / GCP Architect

  preferred.